A General Approach for Efficiently Accelerating Software-based Dynamic Data Flow Tracking on Commodity Hardware
Download: Paper (PDF)
Date: 8 Feb 2012
Document Type: Briefing Papers
Additional Documents: Slides
Associated Event: NDSS Symposium 2012
We present and evaluate a novel methodology for improving the performance overhead of dynamic data flow tracking (DDFT) frameworks, by combining static and dynamic analysis. Specifically, we separate the program logic from the corresponding tracking logic, and apply optimization techniques that eliminate redundant tracking and minimize interference with the target program. Our results indicate a DDFT speedup by as much as 2.23x.